}
  }

  /**
   * Returns an immediately-executable task for the calling thread to execute, sleeping as necessary
   * until one is ready. If there are no ready queues, or if other threads have everything under
   * control this will return null. If there is more than a single task ready to execute immediately
   * this will start another thread to handle that work.
   */
  fun awaitTaskToRun(): Task? {
    assertLockHeld()

        }

        // Read partial content
        try (InputStream in = file.getInputStream()) {
            byte[] buffer = new byte[10];
            int bytesRead = in.read(buffer);
            assertEquals(10, bytesRead, "Should read requested bytes");
            assertEquals("0123456789", new String(buffer, 0, bytesRead, "UTF-8"));

            // Read next chunk
            bytesRead = in.read(buffer);

  expose:
    - "9000"
    - "9001"
  # environment:
    # MINIO_ROOT_USER: minioadmin
    # MINIO_ROOT_PASSWORD: minioadmin
  healthcheck:
    test: ["CMD", "mc", "ready", "local"]
    interval: 5s
    timeout: 5s
    retries: 5

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:

```console
$ deactivate
```

</div>

This way, when you run `python` it won't try to run it from that virtual environment with the packages installed there.

## Ready to Work { #ready-to-work }

Now you're ready to start working on your project.



/// tip

Do you want to understand what's all that above?

Continue reading. 👇🤓

///

        for (int t = 0; t < threadCount; t++) {
            final int threadId = t;
            executor.submit(() -> {
                try {
                    startLatch.await(); // Wait for all threads to be ready

                    for (int i = 0; i < opsPerThread; i++) {
                        String share = "share" + (threadId % 3); // Use 3 different shares

                        // Get or create tree

## Using the `jsonable_encoder` in a `Response` { #using-the-jsonable-encoder-in-a-response }

Because **FastAPI** doesn't make any changes to a `Response` you return, you have to make sure its contents are ready for it.

For example, you cannot put a Pydantic model in a `JSONResponse` without first converting it to a `dict` with all the data types (like `datetime`, `UUID`, etc) converted to JSON-compatible types.

## Development { #development }

By the time I started creating **FastAPI** itself, most of the pieces were already in place, the design was defined, the requirements and tools were ready, and the knowledge about the standards and specifications was clear and fresh.

## Future { #future }

By this point, it's already clear that **FastAPI** with its ideas is being useful for many people.

  stars: 1162
  owner_login: langchain-ai
  owner_html_url: https://github.com/langchain-ai
- name: fastapi-langgraph-agent-production-ready-template
  html_url: https://github.com/wassim249/fastapi-langgraph-agent-production-ready-template
  stars: 1150
  owner_login: wassim249
  owner_html_url: https://github.com/wassim249
- name: fastapi-alembic-sqlmodel-async

For production you would use `fastapi run` instead. 🚀

Internally, **FastAPI CLI** uses <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a>, a high-performance, production-ready, ASGI server. 😎

## `fastapi dev` { #fastapi-dev }

Running `fastapi dev` initiates development mode.

INHERIT: ../en/mkdocs.maybe-insiders.yml
site_name: FastAPI
site_description: FastAPI framework, high performance, easy to learn, fast to code, ready for production
site_url: https://fastapi.tiangolo.com/
theme:
  name: material
  custom_dir: ../en/overrides
  palette:
  - media: (prefers-color-scheme)
    toggle:
      icon: material/lightbulb-auto
      name: Switch to light mode
  - media: '(prefers-color-scheme: light)'
    scheme: default